DEVELOPMENT... OpenML
Run
168480

Run 168480

Task 55 (Supervised Classification) vote Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I10
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9603
Per class
F measure
0.9107
Per class
Kappa
0.8128
KB relative information score
356.6268
Mean absolute error
0.0819
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9119
Per class
Predictive accuracy
0.9103
Prior entropy
0.9627
Recall
0.9103
Per class
Relative absolute error
0.1728
Root mean prior squared error
0.4869
Root mean squared error
0.2673
Root relative squared error
0.549
SciMark benchmark
945.6434
UserCPU time millis
20
UserCPU time millis training
20